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We argue that 3-D first-person video games are a challenging environment for real-time multi-modal reasoning. We first describe our dataset of human game-play, collected across a large variety of 3-D first-person games, which is both…

Machine Learning · Computer Science 2025-10-21 Yuguang Yue , Irakli Salia , Samuel Hunt , Christopher Green , Wenzhe Shi , Jonathan J Hunt

What can humans compute in their heads? We are thinking of a variety of Crypto Protocols, games like Sudoku, Crossword Puzzles, Speed Chess, and so on. The intent of this paper is to apply the ideas and methods of theoretical computer…

Human-Computer Interaction · Computer Science 2017-07-06 Manuel Blum , Santosh Vempala

Algorithms for equilibrium computation generally make no attempt to ensure that the computed strategies are understandable by humans. For instance the strategies for the strongest poker agents are represented as massive binary files. In…

Computer Science and Game Theory · Computer Science 2019-01-23 Sam Ganzfried , Farzana Yusuf

Machine Learning techniques have been used to teach computer programs how to play games as complicated as Chess and Go. These were achieved using powerful tools such as Neural Networks and Parallel Computing on Supercomputers. In this…

Populations and Evolution · Quantitative Biology 2017-12-01 Pedro M. F. Pereira

Interacting with video games is challenging for people with upper-limb impairments, especially when multiple hand-based inputs are required in rapid succession. Human cooperation, where another person assists the player, has been proposed…

Human-Computer Interaction · Computer Science 2026-05-04 Dragan Ahmetovic , Matteo Manzoni , Filippo Corti , Sergio Mascetti

In recent years, agents have become capable of communicating seamlessly via natural language and navigating in environments that involve cooperation and competition, a fact that can introduce social dilemmas. Due to the interleaving of…

Artificial Intelligence · Computer Science 2025-01-28 Maayan Orner , Oleg Maksimov , Akiva Kleinerman , Charles Ortiz , Sarit Kraus

Collaborating with humans requires rapidly adapting to their individual strengths, weaknesses, and preferences. Unfortunately, most standard multi-agent reinforcement learning techniques, such as self-play (SP) or population play (PP),…

Machine Learning · Computer Science 2022-01-10 DJ Strouse , Kevin R. McKee , Matt Botvinick , Edward Hughes , Richard Everett

This paper investigates repeated win-lose coordination games (WLC-games). We analyse which protocols are optimal for these games covering both the worst case and average case scenarios, i,e., optimizing the guaranteed and expected…

Computer Science and Game Theory · Computer Science 2020-04-17 Antti Kuusisto , Raine Rönnholm

This paper proves that arrangement of music is NP-hard when subject to various constraints: avoiding musical dissonance, limiting how many notes can be played simultaneously, and limiting transition speed between chords. These results imply…

Computational Complexity · Computer Science 2016-07-15 William S. Moses , Erik D. Demaine

We analyze the computational complexity of two 2-player games involving packing objects into a box. In the first game, players alternate drawing polycubes from a shared pile and placing them into an initially empty box in any available…

Computational Complexity · Computer Science 2019-11-19 Oliver Korten

Behavioural cloning, where a computer is taught to perform a task based on demonstrations, has been successfully applied to various video games and robotics tasks, with and without reinforcement learning. This also includes end-to-end…

Artificial Intelligence · Computer Science 2020-05-19 Anssi Kanervisto , Joonas Pussinen , Ville Hautamäki

In multiplayer, first-person shooter games like Counter-Strike: Global Offensive (CS:GO), coordinated movement is a critical component of high-level strategic play. However, the complexity of team coordination and the variety of conditions…

Many puzzle video games, like Sokoban, involve moving some agent in a maze. The reachable locations are usually apparent for a human player, and the difficulty of the game is mainly related to performing actions on objects, such as pushing…

Artificial Intelligence · Computer Science 2023-10-03 Miquel Bofill , Cristina Borralleras , Joan Espasa , Mateu Villaret

We study the computational complexity of distance games, a class of combinatorial games played on graphs. A move consists of colouring an uncoloured vertex subject to it not being at certain distances determined by two sets, D and S. D is…

Computational Complexity · Computer Science 2019-02-12 Kyle Burke , Silvia Heubach , Melissa Huggan , Svenja Huntemann

Humans can pursue a near-infinite variety of tasks, but typically can only pursue a small number at the same time. We hypothesize that humans leverage experience on one task to preemptively learn solutions to other tasks that were…

Machine Learning · Computer Science 2026-05-06 Wilka Carvalho , Sam Hall-McMaster , Honglak Lee , Samuel J. Gershman

We report the results of a game-theoretic experiment with human players who solve the problems of increasing complexity by cooperating in groups of increasing size. Our experimental environment is set up to make it complicated for players…

What should I work on first? What can wait until later? Which projects should I prioritize and which tasks are not worth my time? These are challenging questions that many people face every day. People's intuitive strategy is to prioritize…

Artificial Intelligence · Computer Science 2021-08-05 Jugoslav Stojcheski , Valkyrie Felso , Falk Lieder

We propose and analyse a 2-parameter family of 2-player games on two heaps of tokens, and present a strategy based on a class of sequences. The strategy looks easy, but is actually hard. A class of exotic numeration systems is then used,…

Combinatorics · Mathematics 2007-05-23 Aviezri S. Fraenkel

Microrobotics has the potential to revolutionize many applications including targeted material delivery, assembly, and surgery. The same properties that promise breakthrough solutions---small size and large populations---present unique…

Robotics · Computer Science 2017-06-08 Shiva Shahrokhi , Lillian Lin , Chris Ertel , Mable Wan , Aaron T. Becker

Human beings are particularly good at reasoning and inference from just a few examples. When facing new tasks, humans will leverage knowledge and skills learned before, and quickly integrate them with the new task. In addition to learning…

Artificial Intelligence · Computer Science 2019-09-30 Hua Huang , Adrian Barbu